def animate(ii):
most_recent = Reader.get_timeset(table="Sensor Plot", num=1)
Reader.close()
for i, key in enumerate(param_dict, 1):
current_plot = param_dict[key]
data_stream = current_plot.incoming_data
data_stream.pop()
data_stream.insert(1, most_recent[0][i])
current_plot.incoming_data = data_stream
current_plot.make_plot(param=key)
def GetValues():
with open(config_path, "r") as file:
config_settings = list(csv.reader(file))
most_recent = Reader.get_timeset(table="Sensor Plot", num=1)
Reader.close()
for i, key in enumerate(param_dict):
current_param_val = most_recent[0][i]
live_text = live_text_label[i]
current_plot = param_dict[key]
if current_param_val > float(
config_settings[3][i]) or current_param_val < float(
config_settings[4][i]):
live_text.config(text=most_recent[i], fg="red", bg="white")
current_plot.plot_color = 'r'
else:
live_text.config(text=most_recent[i],
fg="black",
bg="white")
current_plot.plot_color = 'g'
self.after(5000, GetValues)
] #slant the x axis tick labels for extra coolness
# self.plot.set_xlim(self.tList[-2], self.tList[0])
self.x_ax.set_xlim(self.tList[-2], self.tList[0])
self.x_ax.xaxis.set_major_locator(mticker.MaxNLocator(nbins=4))
self.plot.fill_between(
self.tList,
self.
incoming_data, #where=(self.incoming_data > [0]*len(self.incoming_data))
facecolor=self.plot_color,
edgecolor=self.plot_color,
alpha=0.5) #blue @initilization
most_recent = reader.get_timeset(table="SensorData", num=20)
#print("most recent", most_recent)
reader.commit()
for i, param in enumerate(param_list, 1):
tList = []
most_recent_20 = []
for j in range(len(most_recent)):
time_f = datetime.strptime(most_recent[j][0], "%m/%d/%Y %H:%M:%S")
tList.append(time_f)
most_recent_20.append(most_recent[j][i])
subplot = f.add_subplot(6, 2, i) #sharex?
x_ax = f.get_axes()
current_plot = Sensor_Plot(subplot, tList, x_ax[i - 1], param,
most_recent_20, 'b')
param_dict[param] = current_plot
ax.xaxis_date()
ax.xaxis.set_major_formatter(mdates.DateFormatter('%I:%M:%S %p'))
[tk.set_visible(True) for tk in ax.get_xticklabels()]
[label.set_rotation(10) for label in ax.xaxis.get_ticklabels()
] #slant the x axis tick labels for extra coolness
ax.set_xlim(incoming_data[-1], incoming_data[0])
ax.xaxis.set_major_locator(mticker.MaxNLocator(nbins=4))
plot.fill_between(tList,
incoming_data,
facecolor=plot_color,
edgecolor=plot_color,
alpha=0.5) #blue @initilization
for i, param in enumerate(param_list, 1): #tk.Label self refers to Homepage
most_recent = Reader.get_timeset(table="Sensor Plot", num=20)
Reader.close()
for j in enumerate(most_recent):
tList = most_recent[j][0]
most_recent_20 = most_recent[j][i]
param_dict[param] = Sensor_Plot(f.add_subplot(6, 2, i), most_recent_20,
'b')
for i, key in enumerate(param_dict, 1):
current_plot = param_dict[key]
current_plot.make_plot(param=key)
###ANIMATE FUNCTION, REMOVE LAST ITEM FROM MOST_RECENT_2O LIST AND INSERT FRESHLY CALLED VALUE TO INDEX[1]
def animate(ii):